Non-Rigid Motion Compensation With Skin Deformation Prediction for in Situ Bioprinting

This paper introduces a novel method of non-rigid motion compensation for <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in situ</i> bioprinting. Most bioprinting platforms use open-loop systems, but it raises concerns about patient safety and suboptimal wound coverage in case of patient motion. To handle these issues, our method integrates an RGB-D camera to manage orientation and to predict deformations, along with a laser telemeter to regulate deposited material thickness. The proposed approach has been evaluated on a moving silicone platform that deforms at 0.8 Hz with a 4 mm in-plane amplitude and a 20 mm elevation amplitude. Our method resulted in a wound coverage error of less than 1 %. Comparative analysis demonstrates a 73.0% enhancement in deforming path following compared to existing methods. Additionally, by predicting surface motion, the method enables more precise control of layer height, with an error inferior to 0.1 mm.

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Publication Details

Journal
IEEE Robotics and Automation Letters
Published
2025-05-30
DOI
https://doi.org/10.1109/lra.2025.3575234
Citations
1
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.67
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article

Non-Rigid Motion Compensation With Skin Deformation Prediction for in Situ Bioprinting

Nabil Zemiti, Lénaïc Cuau, Philippe Poignet
1 citations
IEEE Robotics and Automation Letters
3D Printing in Biomedical Research
0.67
article

Non-Rigid Motion Compensation With Skin Deformation Prediction for in Situ Bioprinting

Nabil Zemiti, Lénaïc Cuau, Philippe Poignet
article en
1 citations

Abstract

This paper introduces a novel method of non-rigid motion compensation for <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in situ</i> bioprinting. Most bioprinting platforms use open-loop systems, but it raises concerns about patient safety and suboptimal wound coverage in case of patient motion. To handle these issues, our method integrates an RGB-D camera to manage orientation and to predict deformations, along with a laser telemeter to regulate deposited material thickness. The proposed approach has been evaluated on a moving silicone platform that deforms at 0.8 Hz with a 4 mm in-plane amplitude and a 20 mm elevation amplitude. Our method resulted in a wound coverage error of less than 1 %. Comparative analysis demonstrates a 73.0% enhancement in deforming path following compared to existing methods. Additionally, by predicting surface motion, the method enables more precise control of layer height, with an error inferior to 0.1 mm.

IEEE Robotics and Automation LettersVol. 10(7)
Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier (FR)
Climate action
Openalex Percentile: Top 31%
3D Printing in Biomedical Research
0.67
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